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Extraction: Advanced Methods00:56

Extraction: Advanced Methods

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
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Super-resolution Imaging of Neuronal Dense-core Vesicles
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A deep dictionary clustering approach for unsupervised image retrieval using convolutional sparse coding

G Sucharitha1, B Vikas2, P V Bhaskar Reddy3

  • 1Computer Science and Engineering, School of Engineering, Anurag University, Hyderabad, India.

Scientific Reports
|December 30, 2025
PubMed
Summary

No abstract available in PubMed .

Keywords:
Deep clusteringDeep learningDictionary learningK-SVDK-means clusteringMedical image retrieval

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